Lessons Learnt From a Greenfield Hangar-Based 1,000-Bedded Temporary Hospital in India.

During the COVID-19 pandemic, the total number of hospital beds in the National Capital Region (NCR) of Delhi was 54,321 (roughly 300 beds per one lakh population), which was inadequate for the patients. Therefore, the Indian government initiated the construction of a 1,000-bedded greenfield hangar-based hospital to bridge the healthcare gap. As a result, Intensive Care Unit (ICU) beds in the facility augmented the COVID-19 care ICU beds in the city by 11%. The authors were involved in the planning, developing, and initiating the functioning of 1,000-bedded Dedicated COVID-19 Hospital (DCH). The hospital was conceptualized, built, and operationalized in 12 days only. Lessons learned from this experience would be of benefit should similar situations arise in future. Coordinating structural designing early with the entire project team-from facility administrators and medical practitioners to architects, consultants, and contractors-can result in a structure that better matches the facility's long-term needs and often saves construction time and costs. This article enumerates various challenges faced and the way they were addressed. This hangar-based hospital can be rapidly constructed and deployed on a massive scale. While structural integrity is essential, the planning team was particularly aware of the patient-centric modality of healthcare. Many modifications were carried out in the structure based on patient inputs. Informal discussions with discharged patients and relatives revealed that the human-centric approach was the mainstay of the therapy.

Self-learning on COVID-19 among medical students in Bhutan: A cross-sectional study.

BACKGROUND: Bhutan lacks a medical school and all medical students are trained in Sri Lanka, Bangladesh and India. When the COVID-19 pandemic led to the closure of medical schools in these countries in March-April 2020, the medical students were repatriated to Bhutan. Upon return, they were kept in government-sponsored facility quarantine for 21 days. This study assessed their knowledge on COVID-19 as a part of self-learning and their attitude towards participation in government's health response to COVID-19. METHODS: This was a cross-sectional study among medical students who had returned to the country. The survey was conducted through an online questionnaire while the students were in facility quarantine. The sample size calculated was 129 and convenient sampling was used. Knowledge was assessed using 20 questions, each scored 1/20. Knowledge was considered "good" if the cumulative score was ≥80%, "satisfactory" if ≥60-79% and "poor" if <60%. Correlation between knowledge score and duration of clinical clerkship was tested using Pearson's correlation coefficient. Attitude of students towards their willingness to participate in the national COVID-19 response was tested using rating scales. Data were analysed using Stata 13.1. RESULTS: 120 medical students responded to the survey (response rate = 93%). Eighty-eight (74%) had good knowledge, 28 (23%) had satisfactory knowledge and only four (3%) had poor knowledge on COVID-19. The students scored high on the symptomatology, mode of transmission, prevention and treatment options and on local epidemiology; and scored low on the forms of mechanical ventilation and on home-management of non-critical cases. The knowledge score correlated with the duration of clinical clerkship they had undertaken (r = 0.326, p = 0.001). The primary source of information were social media sites (102, 85%), television (94, 78%) and newspapers (76, 63%). The majority (78, 65%) were willing to participate in the government's COVID-19 response but could not identify what roles they could play. The fear of contracting COVID-19 was reported by eight students (7%). CONCLUSIONS: Medical students had good knowledge on COVID-19 and had self-learned through social media, television and newspapers. The students held positive attitude towards participation in the government's COVID-19 response.

Diabetes, COVID 19 and mucormycosis: Clinical spectrum and outcome in a tertiary care medical center in Western India.

AIMS: Diabetes Mellitus predisposes patients to invasive fungal infections. There has been a recent surge of Mucormycosis with COVID 19 infection particularly in patients with diabetes. This study aims to study the clinical spectrum of CAM (COVID -associated Mucormycosis) with diabetes and subsequent outcomes. MATERIAL AND METHODS: This was a descriptive study conducted at a single COVID Care Centre in India in patients with COVID Associated Mucormycosis from April 12, 2021 to May 31, 2021. RESULTS: Among 953 hospitalized patients with COVID 19 infection, 32 patients had CAM with an incidence of 3.36%. In patients with CAM, 87.5% had Diabetes Mellitus as the most common co-morbidity. The majority of the patients had poor glycemic control with a mean HbA1c of 9.06%. Out of the total study population, 93% had prior exposure to high dose corticosteroids. During the study period, 12.5% patients of CAM did not survive. CONCLUSION: Mucormycosis is an angioinvasive fungal infection with high mortality. The disease has surged in COVID 19 pandemic due to uncontrolled diabetes and improper corticosteroid use.

Precision medicine: Uses and challenges.

Precision medicine has brought in many changes to the practise of medicine. The omics-based development of biomarkers and pharmaco-omics-based drug development programmes are evidences for the advancement. However, the field where it has proved to be most useful is in the development of various modalities of treatment in oncology. Various drugs targeting vascular endothelial growth factor, epidermal growth factor, tyrosine kinase receptor and rat sarcoma mutations have come to the forefront proving to be beneficial in many cancers. Some of the classic drugs developed using this concept include trastuzumab, bevacizumab, cetuximab and panitumumab among others. Precision medicine has been put to best use in the COVID-19 pandemic through use of various biomarkers such as IL-6 and c-reactive protein in assessing severity of disease, for development of various therapies and also to judge efficacy of vaccines. Precision medicine is also finding its place in management of infectious diseases, chronic diseases such as asthma, connective tissue diseases, cardiovascular diseases, diabetes and obesity. India has also made its presence felt in the field by launching various initiatives such as the Indian genome project and Indian cancer genome atlas. Numerous challenges still exist to the future of precision medicine such as cost involved, ethics, security of the Big data, merger of various platforms to integrate data and also availability of trained manpower to manage the data and algorithms. This new age medicine is a big step forward for mankind and hopefully it will bring more benefits for both patients and the caregivers in the near future.

Relation of D-dimer levels of COVID-19 patients with diabetes mellitus.

BACKGROUND AND AIMS: Diabetes is a frequent comorbidity in patients with Severe COVID-19 infection associated with a worse prognosis. Hypercoagulability with elevation in D-dimer levels has been demonstrated in patients with COVID-19. This study aims to study D-dimer levels in people with diabetes compared to those without diabetes among patients with COVID-19 infection. METHODS: In this observational study 98 moderate and severely ill patients with COVID-19 infection were included at a dedicated COVID hospital. The study group was divided into patients with diabetes and without diabetes. Peak D-dimer was measured in both the groups and compared using appropriate statistical tests. RESULTS: In our study peak D-dimer levels were 1509 ± 2420 ng/mL (Mean ± SD) in people with diabetes and 515 ± 624 ng/mL (Mean ± SD) in patients without diabetes. Patients with diabetes had higher D-dimer levels which were statistically significant. CONCLUSIONS: This study shows COVID-19 patients with diabetes had significantly higher D-dimer levels. Therefore, it is possible that COVID-19 infection with diabetes is more likely to cause hypercoagulable state with a worse prognosis. However clinical implications of these findings will need to be seen in further studies.